Intelligent logistics stowage scheduling method

Abstract

The invention discloses a logistics intelligent stowage scheduling method, which comprises the following steps of S1, goods grouping: grouping to-be-loaded goodses of a current station according to agoods direction; s2, preferentially extracting: extracting goods with express item marks, and preferentially extracting a loading list; s3, calculating to form a list, comprehensively calculating volume, weight and value of goods in one direction to form a to-be-distributed list M, and permutating and combining the to-be-distributed list M; s4, calculating an optimal list; s5, calculating a vehicle distance and a vehicle volume; s6, forming a vehicle list; s7, acquiring a vehicle; s8, vehicle loading; s9, selecting a next vehicle; and S10, vehicle stowage is recorded. According to the logistics intelligent stowage scheduling method, the stowage rate and the average kilometer benefit of the single vehicle are improved by means of the positioning information of the vehicle, GPS navigation software, attributes of various goods, vehicle loads and the like, analysis of early-stage configuration data and a reasonable stowage algorithm.

Description

technical field [0001] The invention relates to the technical field of computer logistics distribution, and more specifically, relates to a logistics intelligent distribution scheduling method. Background technique [0002] Cargo stowage is the core link in logistics operation, which plays an important role in improving the service level of the entire enterprise and reducing logistics costs. The problem of freight loading is to solve the problems of low efficiency of road freight transportation and serious empty load phenomenon. New technologies such as cloud computing and big data should be used to solve the problem of optimal vehicle load rate and short transportation time, so as to obtain maximum economic benefits. Realize the efficient matching of transport vehicles and goods, and reduce the empty driving rate. [0003] With the continuous increase of freight volume, various logistics companies and warehousing and distribution companies began to expand their transporta...

AI Technical Summary

Problems solved by technology

[0003] With the continuous increase of freight volume, various logistics companies and warehousing and distribution companies began to expand their transportation capacity, which led to an increase in their own operating costs. How to accurately expand, allocate transportation capacity, and maximize the profit of each vehicle has become the need of various logistics and distribution companies. The problem to be solved is that the distribution method of the existing logistics park is based on the volume of the total waybill, roughly estimating the type and quantity of vehicles used, and loading the goods in the vehicle

This approach ensures the delivery rate of the goods, but due to the lack of accurate calculation and route classification planning, the vehicles are not fully loaded and the transportation distance between the goods is too long, which leads to the increase of transportation costs. Therefore, a more scientific method is needed. Combined order stowage and route planning methods can not only ensure the delivery rate of goods, but also reduce unnecessary waste of capacity during transportation, thereby improving the profit margin of logistics companies

Images